Jincheng Yu

Orcid: 0009-0007-3831-3845

According to our database1, Jincheng Yu authored at least 64 papers between 2013 and 2025.

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Bibliography

2025
Complex-Vector Flux-Linkage Envelope Demodulation for High-Speed Resolver-to-Digital Conversion System.
IEEE Trans. Ind. Electron., September, 2025

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges.
CoRR, July, 2025

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer.
CoRR, July, 2025

MR-COGraphs: Communication-Efficient Multi-Robot Open-Vocabulary Mapping System via 3D Scene Graphs.
IEEE Robotics Autom. Lett., June, 2025

Efficient and Hardware-Friendly Online Adaptation for Deep Stereo Depth Estimation on Embedded Robots.
IEEE Robotics Autom. Lett., May, 2025

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation.
CoRR, March, 2025

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.
CoRR, January, 2025

IDEA-GP: Instruction-Driven Architecture with Efficient Online Workload Allocation for Geometric Perception.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024
Optimal Charging of Lithium-Ion Battery Using Distributionally Robust Model Predictive Control With Wasserstein Metric.
IEEE Trans. Ind. Informatics, May, 2024

Mixup Augmentation with Multiple Interpolations.
CoRR, 2024

Localization matters too: How localization error affects UAV flight.
CoRR, 2024

Rad-NeRF: Ray-decoupled Training of Neural Radiance Field.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CATOA: Cooperative Calibration of Timestamp Measurements for Distributed Multi-Robot Localization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

High-Accuracy 2-D AoA Estimation Using Lightweight UWB Arrays.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-disturbance Mitigation based Deadbeat Predictive Current Control for PMSM.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Ship Noise Target Classification Based on Deep Convolutional Networks.
Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Load Balanced Sparse Bundle Adjustment Accelerator for CNN-Based Visual-Inertial Odometry on FPGA.
Proceedings of the International Conference on Field Programmable Technology, 2024

Invited: Automatic Hardware/Software Design for High-Speed Autonomous Unmanned Aerial Vehicles Guided by a Flight Model.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
CoRR, 2023

DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks.
CoRR, 2023

Design Considerations of Outer-Rotor Flux-Modulated Permanent-Magnet In-Wheel Motors.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Investigation on Rotor-Pole Number Cooperation Strategy by Phase Shift in Modular Flux Switching Permanent Magnet Resolvers.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

UAV Swarm Planning accelerator on FPGA with low latency and fixed-point L-BFGS Quasi-Newton solver.
Proceedings of the International Conference on Field Programmable Technology, 2023

MD-RadioMap: Multi-Drone Radio Map Building via Single-Anchor Ultra-Wideband Localization Network.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
INCAME: Interruptible CNN Accelerator for Multirobot Exploration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

$\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders.
IEEE Robotics Autom. Lett., 2022

Corrections to "MR-TopoMap: Multi-Robot Exploration Based on Topological Map in Communication Restricted Environment".
IEEE Robotics Autom. Lett., 2022

MR-TopoMap: Multi-Robot Exploration Based on Topological Map in Communication Restricted Environment.
IEEE Robotics Autom. Lett., 2022

A Framework to Co-Optimize Robot Exploration and Task Planning in Unknown Environments.
IEEE Robotics Autom. Lett., 2022

Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline.
IEEE Robotics Autom. Lett., 2022

MR-GMMapping: Communication Efficient Multi-Robot Mapping System via Gaussian Mixture Model.
IEEE Robotics Autom. Lett., 2022

Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment.
CoRR, 2022

A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

MR-GMMExplore: Multi-Robot Exploration System in Unknown Environments based on Gaussian Mixture Model.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Design of a New Multi-Port Flux-Modulated Permanent-Magnet Composite Machine.
Proceedings of the IECON 2022, 2022

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Multi-UAV Disaster Environment Coverage Planning with Limited-Endurance.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Comparative Study of Double-Stator Vernier Machines with Different Interior Permanent-Magnet Arrangements for Unmanned Aerial Vehicles.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

2021
Comparative Study of Double-Stator Interior-PM Vernier Machines Based on Electromagnetic-Structural Coupling Analysis.
IEEE Trans. Ind. Electron., 2021

Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator.
IEEE Access, 2021

SMMR-Explore: SubMap-based Multi-Robot Exploration System with Multi-robot Multi-target Potential Field Exploration Method.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

GAME: Gaussian Mixture Model Mapping and Navigation Engine on Embedded FPGA.
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

Efficient Computing Platform Design for Autonomous Driving Systems.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
CNN-based Monocular Decentralized SLAM on embedded FPGA.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

INCAME: INterruptible CNN Accelerator for Multi-robot Exploration.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

CNN-based Feature-point Extraction for Real-time Visual SLAM on Embedded FPGA.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
[DL] A Survey of FPGA-based Neural Network Inference Accelerators.
ACM Trans. Reconfigurable Technol. Syst., 2019

On-Chip Instruction Generation for Cross-Layer CNN Accelerator on FPGA.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Compressed CNN Training with FPGA-based Accelerator.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018
Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA.
ACM Trans. Reconfigurable Technol. Syst., 2018

Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

RRAM Based Buffer Design for Energy Efficient CNN Accelerator.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

Real-time object detection towards high power efficiency.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
A Survey of FPGA Based Neural Network Accelerator.
CoRR, 2017

Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA.
Proceedings of the International Conference on Field Programmable Technology, 2017

2016
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network.
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

Real-Time Pedestrian Detection and Tracking on Customized Hardware.
Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time Multimedia, 2016

2013
A vision-based robotic grasping system using deep learning for 3D object recognition and pose estimation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013


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